Data scientist

Papaya is a TLV-based mobile games company with one of the fastest growth rates in the market and millions of players worldwide. Our passionate engineers are building a unique, innovative tournament platform used by numerous popular games.

We’re looking for a Data Scientist who’s eager to research and implement new tailored solutions for our users. You will be one of the pioneering core team members in the data science area, and establish yourself as a significant building block of our products at this critical point in time before we reach greater heights.

Requirements:

5+ years of hands-on experience in ML techniques for the complete life cycle: preprocessing, feature engineering/extraction, ML model training, and validation.
Proven experience in productizing real-world use cases, and high standard performance at scale in cloud platforms.
Proficiency in Python including experience with Data Science frameworks such us: AutoML, Scikit-Learn, XGBoost, Keras, Tensorflow, PyTorch.
Entrepreneurial mindset: capable of taking ownership of the solution, working independently, and bringing innovative ideas to the team.

Responsibilities:

Lead the design and implementation of machine learning models to solve business challenges and enhance our products.
Build regression, classification, and clustering models using Machine Learning and/or Deep Learning algorithms and techniques.
Utilize our petabytes of data and take ownership of the full cycle of ML initiatives from ideation to execution.
Create MLOps pipelines for seamless model training, deployment, monitoring, and retraining.
Collaborate with analysts, engineers, and stakeholders to identify opportunities for machine learning applications.
Evaluate and recommend tools, frameworks, and technologies to streamline ML workflows.